Multi-agent based middleware for protecting privacy in IPTV content recommender services

Multimedia Tools and Applications

Volumn 64, Issue 2, 2013, Pages 249-275

  Elmisery, Ahmed M ^a   Botvich, Dmitri ^a  

^a Ireland   (Ireland)

Author keywords

Clustering; IPTV networks; Multi agent; Privacy; Recommender System

Indexed keywords

CLUSTERING; IPTV NETWORKS; MULTI-AGENT; MULTIAGENT ARCHITECTURE; PLATFORM FOR PRIVACY PREFERENCES; PRIVACY PREFERENCES; RECOMMENDATION ACCURACY; THIRD-PARTY CONTENT;

AGGREGATES; DATA PRIVACY; IPTV; MIDDLEWARE; MULTIMEDIA SYSTEMS; SEMANTICS;

RECOMMENDER SYSTEMS;

EID: 84888387545     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-012-1067-3     Document Type: Article

References (39)

1. Canny J (2002) Collaborative filtering with privacy via factor analysis. Paper presented at the Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, Tampere, Finland
2. Canny J (2002) Collaborative filtering with privacy. Paper presented at the Proceedings of the 2002 IEEE Symposium on Security and Privacy
3. Carbo J, Molina J, Davila J (2002) Trust management through fuzzy reputation. Int J Cooper Inform Syst 12:135-155
4. Dingledine R, Mathewson N, Syverson P (2004) Tor: the second-generation onion router. Paper presented at the Proceedings of the 13th conference on USENIX Security Symposium - Volume 13, San Diego, CA
5. Elmisery A, Botvich D (2011) Private recommendation service ror IPTV system. In: 12th IFIP/IEEE International Symposium on Integrated Network Management, Dublin, Ireland. IEEE
6. Elmisery A, Botvich D (2011) Privacy aware recommender service for IPTV networks. In: 5th FTRA/IEEE International Conference on Multimedia and Ubiquitous Engineering, Crete, Greece. IEEE
7. Elmisery A, Botvich D (2011) Agent based middleware for maintaining user privacy in IPTV recommender services. In: 3rd International ICST Conference on Security and Privacy in Mobile Information and Communication Systems. ICST, Aalborg, Denmark
8. Elmisery A, Botvich D (2011) Agent based middleware for private data mashup in IPTV recommender services. In: 16th IEEE International Workshop on Computer Aided Modeling, Analysis and Design of Communication Links and Networks. IEEE, Kyoto, Japan
9. Elmisery A, Botvich (2011) D An agent based middleware for privacy aware recommender systems in IPTV Networks. In: 3rd International Conference on Intelligent Decision Technologies University of Piraeus, Greece, KES-Springer Smart Innovations, Systems and technologies. Springer Verlag
10. Elmisery AM, Botvich D (2011) An agent based middleware for privacy aware recommender systems in IPTV networks. In: Watada J, Phillips-Wren G, Jain LC, Howlett RJ (eds) Intelligent decision technologies. Smart innovation, systems and technologies, vol 10. Springer, Berlin, Heidelberg, pp 821-832. doi: 10.1007/978-3-642-22194-1-81
11. Elmisery A, Botvich D (2011) Privacy aware obfuscation middleware for mobile jukebox recommender services. In: The 11th IFIP Conference on e-Business, e-Service, e-Society, Kaunas, Lithuania, IFIP
12. Elmisery A, Botvich D (2011) Enhanced Middleware for Collaborative Privacy in IPTV Recommender Services Journal of Convergence 2 (2):10
13. Elmisery A, Huaiguo F (2010) Privacy preserving distributed learning clustering of healthcare data using cryptography protocols. In: 34th IEEE Annual International Computer Software and Applications Workshops, Seoul, South Korea
14. Esma A (2008) Experimental demonstration of a hybrid privacy-preserving recommender system. In: Gilles B, Jose MF, Flavien Serge Mani O, Zbigniew R (eds) pp 161-170
15. Fellows MR, Guo J, Komusiewicz C, Niedermeier R, Uhlmann J (2009) Graph-Based Data Clustering with Overlaps. Paper presented at the Proceedings of the 15th Annual International Conference on Computing and Combinatorics, Niagara Falls, NY
16. Gemmis Md, Iaquinta L, Lops P, Musto C, Narducci F, Semeraro G (2009) Preference Learning in recommender systems. Paper presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Slovenia
17. Ghinita G, Kalnis P, Skiadopoulos S (2007) PRIVE: anonymous location-based queries in distributed mobile systems. Paper presented at the Proceedings of the 16th international conference on World Wide Web, Banff, Alberta, Canada
18. Gupta D, Digiovanni M, Narita H, Goldberg K (1999) Jester 2.0 (poster abstract): evaluation of an new linear time collaborative filtering algorithm. Paper presented at the Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, Berkeley, California, United States
19. Herlocker JL, Konstan JA, Terveen LG, Riedl JT (2004) Evaluating collaborative filtering recommender systems. ACM Trans Inf Syst 22(1):5-53. doi: doi.acm.org/10.1145/963770.963772
20. Huang Z, Du W, Chen B (2005) Deriving private information from randomized data. Paper presented at the Proceedings of the 2005 ACM SIGMOD international conference on Management of data, Baltimore, Maryland
21. Imani M, Taheri M, Naderi M (2010) Security enhanced routing protocol for ad hoc networks. J Conv 1(1):43-48
22. Indyk P, Motwani R (1998) Approximate nearest neighbors: towards removing the curse of dimensionality. Paper presented at the Proceedings of the thirtieth annual ACM symposium on theory of computing, Dallas, Texas, United States
23. Jarvis RA, Patrick EA (1973) Clustering using a similarity measure based on shared near neighbors. IEEE Trans Comput 22(11):1025-1034. doi: 10.1109/t-c.1973.223640
24. Kargupta H, Datta S, Wang Q, Sivakumar K (2003) On the privacy preserving properties of random data perturbation techniques. Paper presented at the Proceedings of the Third IEEE International Conference on Data Mining
25. Kelly D, Teevan J (2003) Implicit feedback for inferring user preference: a bibliography. SIGIR Forum 37(2):18-28. doi: doi.acm.org/10.1145/959258.959260
26. Kingsford C (2009) Information theory notes
27. Klyuev V, Oleshchuk V (2011) Semantic retrieval: an approach to representing, searching and summarising text documents. Int J Inf Technol Commun Converg 1:221-234
28. Konstan J, Miller B, Maltz D, Herlocker J, Gordon L, Riedl J (1997) GroupLens: applying collaborative filtering to usenet news. Commun ACM 40(3):77-87. doi: citeulike-article-id:486168
29. Liu K, Giannella C, Kargupta H (2006) An attacker's view of distance preserving maps for privacy preserving data mining knowledge discovery in databases: PKDD 2006. In: Fürnkranz J, Scheffer T, Spiliopoulou M (eds) Lecture notes in computer science vol 4213. Springer, Berlin / Heidelberg, pp 297-308. doi: 10.1007/11871637-30
30. McSherry F, Mironov I (2009) Differentially private recommender systems: building privacy into the net. Paper presented at the Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, Paris, France
31. Miller BN, Konstan JA, Riedl J (2004) PocketLens: toward a personal recommender system. ACM Trans Inf Syst 22(3):437-476. doi: doi.acm.org/10.1145/ 1010614.1010618
32. Nejdl W, Wolpers M, Siberski W, Schmitz C, Schlosser M, Brunkhorst I, Laser (2003) Super-peer-based routing and clustering strategies for RDF-based peer-to-peer networks. Paper presented at the Proceedings of the 12th international conference on World Wide Web, Budapest, Hungary
33. Pingley A, Yu W, Zhang N, Fu X, Zhao W (2009) CAP: a context-aware privacy protection system for location-based services. Paper presented at the Proceedings of the 2009 29th IEEE International Conference on Distributed Computing Systems
34. Polat H, Du W (2003) Privacy-preserving collaborative filtering using randomized perturbation techniques. Paper presented at the Proceedings of the Third IEEE International Conference on Data Mining
35. Polat H, Du W (2005) SVD-based collaborative filtering with privacy. Paper presented at the Proceedings of the 2005 ACM symposium on Applied computing, Santa Fe, New Mexico
36. Pyshkin E, Kuznetsov A (2010) Approaches for web search user interfaces: how to improve the search quality for various types of information. Journal of Convergence 1:1-8
37. Reaz A, Raouf B (2010) A scalable peer-to-peer protocol enabling efficient and flexible search
38. Sweeney L (2002) k-anonymity: a model for protecting privacy. Int J Uncertain Fuzziness Knowl-Based Syst 10 (5):557-570. doi: 10.1142/ s0218488502001648
39. Ye Y, Li X, Wu B, Li Y (2010) A comparative study of feature weighting methods for document co-clustering. Int J Inf Technol Commun Converg 1(2):206-220